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Off-line calibration of a macroscopic Dynamic Traffic Assignment model: Iterative demand-supply parameters estimation
16 references·0 citing·44 second hop
Off-line calibration of a macroscopic Dynamic Traffic Assignment model: Iterative demand-supply parameters estimation (2014)Off-line calibration of a macroscopic Dyn…Estimating time-dependent origin–destination demand from traffic counts: extended gradient method (2014)Estimating time-dependent ori…Demand and Supply Calibration of Dynamic Traffic Assignment Models (2012)Demand and Supply Calibration…A Hybrid Route Choice Model for Dynamic Traffic Assignment (2012)A Hybrid Route Choice Model f…Simulation-based dynamic traffic assignment for short-term planning applications (2010)Simulation-based dynamic traf…A gradient approximation approach for adjusting temporal origin–destination matrices (2010)A gradient approximation appr…Calibration of Dynamic Traffic Assignment Models with Point-to-Point Traffic Surveillance (2009)Calibration of Dynamic Traffi…Estimating Time-Dependent Freeway Origin–Destination Demands with Different Data Coverage (2008)Estimating Time-Dependent Fre…A variational inequality formulation for inferring dynamic origin–destination travel demands (2008)A variational inequality form…Offline Calibration of Dynamic Traffic Assignment (2007)Offline Calibration of Dynami…Off-line calibration of Dynamic Traffic Assignment models (2006)Off-line calibration of Dynam…Noniterative Approach to Dynamic Traffic Origin-Destination Estimation with Parallel Evolutionary Algorithms (2006)Noniterative Approach to Dyna…Dynamic Origin–Destination Demand Estimation Using Automatic Vehicle Identification Data (2006)Dynamic Origin–Destination De…Calibration and Validation of Dynamic Traffic Assignment Systems (2005)Calibration and Validation of…Hybrid Meta‐Heuristic Algorithm for the Simultaneous Optimization of the O–D Trip Matrix Estimation (2004)Hybrid Meta‐Heuristic Algorit…Origin-Destination Matrices Estimated with a Genetic Algorithm from Link Traffic Counts (2001)Origin-Destination Matrices E…Internally-consistent estimation of dynamic network origin-destination flows from intelligent transportation systems data using bi-level optimization (2001)Internally-consistent estimat…Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts (1993)Network State Estimation and Prediction for Real-Time Traffic Management (2001)NETWORK KNOWLEDGE AND ROUTE CHOICE (2002)Incorporating within-Day Transitions in Simultaneous Offline Estimation of Dynamic Origin-Destination Flows without Assignment Matrices (2008)Two-Step Approach for Correction of Seed Matrix in Dynamic Demand Estimation (2014)Dynamic demand estimation on large scale networks using Principal Component Analysis: The case of non-existent or irrelevant historical estimates (2022)Implementation of the simultaneous perturbation algorithm for stochastic optimization (1998)Discrete Choice Methods and their Applications to Short Term Travel Decisions (1999)Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future (2001)A simulation-based optimisation approach for identifying key determinants for sustainable transportation planning (2016)Optimal Time-Varying Pricing for Toll Roads Under Multiple Objectives: A Simulation-Based Optimization Approach (2016)Simulation-based optimization of toll pricing in large-scale urban networks using the network fundamental diagram: A cross-comparison of methods (2020)A unified framework for estimating or updating origin/destination matrices from traffic counts (1988)Estimation of Dynamic Origin–Destination Matrices Using Linear Assignment Matrix Approximations (2012)c-SPSA: Cluster-wise simultaneous perturbation stochastic approximation algorithm and its application to dynamic origin–destination matrix estimation (2015)Dynamic origin-destination matrix calibration for large-scale network simulators (2018)An Overview of the Simultaneous Perturbation Method for Efficient Optimization (1998)Transportation Systems Engineering: Theory and Methods (2001)Dynamic origin–destination demand flow estimation under congested traffic conditions (2013)Updating origin–destination matrices with aggregated data of GPS traces (2016)Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph (2018)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Econometric Models and Economic Forecasts (1990)Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992)Efficient calibration techniques for large-scale traffic simulators (2017)SimMobility Short-Term: An Integrated Microscopic Mobility Simulator (2017)The most likely trip matrix estimated from traffic counts (1980)Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach (1983)Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator (1984)Estimating multi-year 24 / 7 origin-destination demand using high-granular multi-source traffic data (2018)High-dimensional offline origin-destination (OD) demand calibration for stochastic traffic simulators of large-scale road networks (2019)A novel approach for the structural comparison of origin-destination matrices: Levenshtein distance (2020)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel (1997)Dynamic origin–destination estimation in congested networks: theoretical findings and implications in practice (2011)New Gradient Approximation Method for Dynamic Origin–Destination Matrix Estimation on Congested Networks (2011)CONGESTION THEORY AND TRANSPORT INVESTMENT (1969)A Variational Inequality Formulation of the Dynamic Network User Equilibrium Problem (1993)A hierarchical optimization problem: Estimating traffic flow using Gamma random variables in a Bayesian context (2012)A new one-level convex optimization approach for estimating origin–destination demand (2012)Quasi-Dynamic Estimation of OD Flows From Traffic Counts Without Prior OD Matrix (2017)An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models (2014)Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation (2015)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)
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References

  • 2006Dynamic Origin–Destination Demand Estimation Using Automatic Vehicle Identification Data203 cited
  • 2010A gradient approximation approach for adjusting temporal origin–destination matrices123 cited
  • 2006Off-line calibration of Dynamic Traffic Assignment models107 cited
  • 2007Offline Calibration of Dynamic Traffic Assignment102 cited
  • 2009Calibration of Dynamic Traffic Assignment Models with Point-to-Point Traffic Surveillance72 cited
  • 2001Internally-consistent estimation of dynamic network origin-destination flows from intelligent transportation systems data using bi-level optimization69 cited
  • 2001Origin-Destination Matrices Estimated with a Genetic Algorithm from Link Traffic Counts64 cited
  • 2010Simulation-based dynamic traffic assignment for short-term planning applications57 cited
  • 2008A variational inequality formulation for inferring dynamic origin–destination travel demands54 cited
  • 2005Calibration and Validation of Dynamic Traffic Assignment Systems41 cited
  • 2006Noniterative Approach to Dynamic Traffic Origin-Destination Estimation with Parallel Evolutionary Algorithms37 cited
  • 2012A Hybrid Route Choice Model for Dynamic Traffic Assignment36 cited
  • 2004Hybrid Meta‐Heuristic Algorithm for the Simultaneous Optimization of the O–D Trip Matrix Estimation30 cited
  • 2008Estimating Time-Dependent Freeway Origin–Destination Demands with Different Data Coverage

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21 cited
  • 2012Demand and Supply Calibration of Dynamic Traffic Assignment Models19 cited
  • 2014Estimating time-dependent origin–destination demand from traffic counts: extended gradient method17 cited
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